Responsible AI

IMGTB: A Framework for Machine-Generated Text Detection Benchmarking ACL 2024 Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation EMNLP 2024 Implications of Regulations on Large Generative AI Models in the Super-Election Year and the Impact on Disinformation COLING 2024 Implicit Personalization in Language Models: A Systematic Study EMNLP 2024 Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset NAACL 2024 Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design EMNLP 2024 Improving Dialog Safety using Socially Aware Contrastive Learning EACL 2024 In-Contextual Gender Bias Suppression for Large Language Models EACL 2024 IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context NAACL 2024 InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance EMNLP 2024 Instructional Fingerprinting of Large Language Models NAACL 2024 Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models NAACL 2024 Intellectual property rights at the training, development and generation stages of Large Language Models COLING 2024 Interactive Human-Centric Bias Mitigation AAAI 2024 Investigating Ableism in LLMs through Multi-turn Conversation EMNLP 2024 Investigating Data Contamination in Modern Benchmarks for Large Language Models NAACL 2024 Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models ACL 2024 Irrelevant Alternatives Bias Large Language Model Hiring Decisions EMNLP 2024 Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment EMNLP 2024 Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering EMNLP 2024 IterAlign: Iterative Constitutional Alignment of Large Language Models NAACL 2024 ”It’s how you do things that matters”: Attending to Process to Better Serve Indigenous Communities with Language Technologies EACL 2024 Jailbreak Open-Sourced Large Language Models via Enforced Decoding ACL 2024 JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models EMNLP 2024 John vs. Ahmed: Debate-Induced Bias in Multilingual LLMs ACL 2024